2013
DOI: 10.1016/j.ergon.2013.04.008
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Prioritization of aesthetic attributes of car profile

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Cited by 55 publications
(23 citation statements)
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“…According to the degree of proximity, 20 participants with lower scores were selected: numbers 9,5,30,34,3,15,39,42,2,6,16,24,37,13,4,14,20,38,31, and 21. ese 20 participants' lower scores illustrate that their emotional levels are close to the average level of public moods and can represent consumers' aesthetic purposes in a certain extent. So, they would be the participants in the next experiment.…”
Section: (6)mentioning
confidence: 99%
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“…According to the degree of proximity, 20 participants with lower scores were selected: numbers 9,5,30,34,3,15,39,42,2,6,16,24,37,13,4,14,20,38,31, and 21. ese 20 participants' lower scores illustrate that their emotional levels are close to the average level of public moods and can represent consumers' aesthetic purposes in a certain extent. So, they would be the participants in the next experiment.…”
Section: (6)mentioning
confidence: 99%
“…However, the development of eye tracking techniques makes the method of measuring the aesthetic indexes of the product by observing visual information, such as eye movements and pupil changes, gradually accepted. For instance, there was a study of weight expansion of 12 aesthetic attributes in car styling by Yadav et al in 2013 [5]. In addition, the aesthetic measurement method of the web interface was developed in 2008 by Zain to design the interactive product [6].…”
Section: Introductionmentioning
confidence: 99%
“…Sports and racing (6) Mellow and so (8) Special and cool (5) Al Outline of the front panel (12) A2 Side trend line (16) headlight (37) feature (9) Sharp broken line (6) A11 A12 A13…”
Section: = [̃] ;mentioning
confidence: 99%
“…Mellow & full and just as a shield (8) Close to letter M/like a helmet (5) A21 A22 A23 A24 Similar to square (9) Continuous curve (6) Continuous broken line (3) Simple and modern (11) Graceful and smooth (3) Graceful and smooth (11) Simple and modern (7) Sports and racing (5) Mellow and so (6) Light and exquisite (3) Fashionable (7) Mellow and so (6) Simple and modern (10) Feel of science and technology (8) Special and cool (8) Sports and racing (6) Graceful and smooth (3) Simple and modern (11) Mellow and so (5) Fashionable (5) Sports and racing (6) Graceful and smooth (2) Disconnected irregular polygon ( Diamond shape (9) Eye shape (3) V shape (7) Circle shape (9) Similar to the square shape (5) Cobblestone shape (17) Shape of the athletics track ( 15) Shape of two round (12) Mellow and cocking-up (6) Sharp and cocking-up (4) Vertical-tail shape (7) Similar to square/trapezoid (3) A3 Modelling of the A4 Rear modeling Step 3 (calculate the fuzzy maximum eigenvaluẽm ax ). The fuzzy maximum eigenvaluẽm ax of the fuzzy pairwise comparison matrix̃can be calculated as̃=̃m ax̃ ( 11) The fuzzy maximum eigenvaluẽm ax of the fuzzy pairwise comparison matrix can also be defined in terms of triangular fuzzy numbers:̃=…”
Section: A14mentioning
confidence: 99%
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